Name first author |
Title |
Topic |
Session |
Monday 30 August and Tuesday 31 August |
Zu Eulenburg |
Christine |
The extended semi-Markov multistate model by Andersen and Keiding to estimate the impact of progression on survival. a practical example of 215 ovarian cancer patients |
1: Joint modeling of longitudinal outcome and times-to event |
P1 |
Nonhlanhla |
Yende |
Factors associated with the rate of increase in CD4+ count over the first two years in patients initiated on haart in Kwazulu Natal, South Africa |
1: Joint modeling of longitudinal outcome and times-to event |
P1 |
Gorkiewicz |
Maciej |
Psychometric scales from cognitive perspective: the reasoning style as outcome |
10: Latent variable models |
P1 |
Regnault |
Antoine |
Development of symptom indices using formative structural equation models: application to the pac-sym questionnaire |
10: Latent variable models |
P1 |
Menten |
Joris |
Estimating infection rates from repeated tests without a gold standard |
10: Latent variable models |
P1 |
Li |
Baoyue |
Logistic random effects regression models: a comparison of statistical packages |
10: Latent variable models |
P1 |
Baroukh |
Tiba |
The psychotherapy practices based research's network |
11: Design and analysis of non pharmaceutical trials/device trials |
P1 |
Mohebbi |
Mohammadreza |
Spatial autocorrelation between geographically referenced observations: geographic distribution esophageal and gastric cancer in caspian region of iran, adjusted for covariates |
12: Spatial data analysis |
P1 |
Knapp |
Guido |
Precision of one-step versus two-step ipd meta-analysis estimator |
13: Meta-analyses |
P1 |
Sauerbrei |
Willi |
A new strategy for meta analysis of continuous covariates in observational studies |
13: Meta-analyses |
P1 |
Debray |
Thomas |
Meta-analysis of clinical prediction rules: incorporating known univariate associations as prior knowledge when analyzing multivariate data |
13: Meta-analyses |
P1 |
Matsuoka |
Nobushige |
Improvement of statistical power for detecting publication bias in meta-analysis using clinical trial registration system |
13: Meta-analyses |
P1 |
Rucker |
Gerta |
Effect estimates adjusted for small-study effects in meta-analysis |
13: Meta-analyses |
P1 |
McKinnon |
Elizabeth |
Exploring informative diversity in SNP-based association studies |
14: Genetic epidemiology |
P1 |
Hirakawa |
Akihiro |
Sample size calculation through the incorporation of heteroscedasticity and dependence for a penalized t-statistic in microarray experiments |
15: Bioinformatics |
P1 |
Naudet-Briand |
Benedicte |
Impact of noise on the detection of copy-number variations in array cgh measurements |
15: Bioinformatics |
P1 |
Wolbers |
Marcel |
Cd4 cell slope and aids — a case study in longitudinal data analysis |
16: Prediction |
P1 |
Bouwmeester |
Walter |
A comparison between multilevel and standard logistic regression analysis for predicting clustered patient outcomes |
16: Prediction |
P1 |
Worby |
Colin |
MRSA transmission in general hospital wards using hidden Markov models |
16: Prediction |
P1 |
Jose A. |
Vilar |
Forecasting age-specific breast cancer mortality: a new nonparametric functional approach |
16: Prediction |
P1 |
Esteban |
Luis mariano |
Evaluating the predictiveness of new biomarkers in prostate cancer recurrence |
16: Prediction |
P1 |
Huang |
Liping |
Evaluating traditional and tree-structured survival model performance |
16: Prediction |
P1 |
Zarcone |
Maurizio |
Grey modeling on breast cancer data in Sicily (Italy) |
16: Prediction |
P1 |
Lu |
Difei |
Prognostic models based on literature and individual data: a Bayesian method with data augmentation |
16: Prediction |
P1 |
Combescure |
Christophe |
Prognostic performances binary factors: prognostic ROC (PROC) curves |
16: Prediction |
P1 |
Almendra-Arao |
Felix |
Behavior of the asymptotic pooled z-statistics |
17: Clinical trials |
P1 |
Hirakawa |
Akihiro |
A practical comparison of response-adaptive randomizations in clinical trials with binary responses |
17: Clinical trials |
P1 |
Chin-Fu Hsiao |
Chin-Fu |
A consistency approach to evaluation of bridging studies and multiregional trials |
17: Clinical trials |
P1 |
Glass |
Aenne |
Stratified randomization in clinical trials: advantage in balance of a prognostic factor |
17: Clinical trials |
P1 |
Gerlinger |
Christoph |
Considerations on what is meant by “qualified statistician” in regulatory submissions |
17: Clinical trials |
P1 |
Peacock |
Janet |
Communicating the disadvantage of dichotomisation to the trialist: comparative tables of sample sizes. |
17: Clinical trials |
P1 |
Hartley |
Benjamin |
Phase II-III adaptive design with dose selection & non-inferiority test |
17: Clinical trials |
P1 |
Kawaguchi |
Atsushi |
Stratified multivariate Mann-Whitney estimators for the comparison of two treatments with randomization based covariance adjustment |
17: Clinical trials |
P1 |
Mordenti |
Giacomo |
Bayesian adaptive randomization in early development oncology |
17: Clinical trials |
P1 |
Rauch |
Geraldine |
Sample size calculation for the assessment of composite endpoints and its components |
17: Clinical trials |
P1 |
Barry |
Sarah |
The Scottish health informatics programme (ship): can electronic patient records inform clinical trial endpoints? |
17: Clinical trials |
P1 |
Tanguy |
Jerome |
Strengths, weaknesses of different statistical models to analyse recurrent events |
17: Clinical trials |
P1 |
Schmidli |
Heinz |
Using historical data in the analysis of multiple sclerosis trials |
17: Clinical trials |
P1 |
Viala-Danten |
Muriel |
The interpretation of patient-reported outcome data: a challenge for statisticians? |
17: Clinical trials |
P1 |
Mizuki Yoshida |
Mizuki |
A stochastic curtailment method based on the weighted log-rank test for delayed treatment effects |
17: Clinical trials |
P1 |
Rebora |
Paola |
Sample size formula for one-arm trials with recurrent events |
17: Clinical trials |
P1 |
Hamel |
Jean-francois |
Is the oscillometric method reliable to access the ankle-brachial pressure index? |
2: Diagnostic testing and screening methodology |
P1 |
Katsuta |
Tomoya |
The statically analysis of prognosis factor in acute exacerbation of idiopathic pulmonary fibrosis |
2: Diagnostic testing and screening methodology |
P1 |
Hamel |
Jean-francois |
Comparison of pulse wave velocity measurements' repeatability depending on the operator’s training. |
2: Diagnostic testing and screening methodology |
P1 |
Saeki |
Hiroyuki |
Non-inferiority test for diagnostic tests based on multiple readers |
2: Diagnostic testing and screening methodology |
P1 |
Nakas |
Christos |
Accuracy and cut-off point selection in three-class classification problems |
2: Diagnostic testing and screening methodology |
P1 |
Good |
Norm |
A classification approach for creating a normative dataset |
2: Diagnostic testing and screening methodology |
P1 |
Macaskill |
Petra |
Monitoring creatinine to detect early complications post-kidney transplant. |
2: Diagnostic testing and screening methodology |
P1 |
Farnell |
Damian |
Cross-study inference using calibration samples |
2: Diagnostic testing and screening methodology |
P1 |
Antolini |
Laura |
Comparing sub-distribution hazards by a log-rank approach |
21: Survival analysis and Multistate models |
P1 |
Lauseker |
Michael |
Comparison of three approaches of modelling cause-specific hazards in the context of myelodysplastic syndrome |
21: Survival analysis and Multistate models |
P1 |
Rouam |
Sigrid |
Selecting genomic markers for survival analysis: a pseudo-r2 measure designed for non proportional hazards response |
21: Survival analysis and Multistate models |
P1 |
Jang |
Eun-Jin |
Excess mortality associated with seasonal influenza in Korea during 1997-2008 influenza seasons |
21: Survival analysis and Multistate models |
P1 |
Hoyle |
Martin |
Improved survival curve fits to summary data for economic evaluations |
3: Health economic evaluations |
P1 |
Sato |
Hiroki |
Cost-effectiveness analysis of neonatal mass screening for severe combined immunodeficiency by quantification of t-cell receptor excision circles |
3: Health economic evaluations |
P1 |
Bujkiewicz |
Sylwia |
Transparent interactive decision interrogator (tidi): an interface for facilitating transparent decision making in health technology assessment (hta) |
3: Health economic evaluations |
P1 |
Chen Won Sun |
Won Sun |
Psychometric properties of the Malay version of the EQ-5D in Malaysia |
3: Health economic evaluations |
P1 |
Inan |
Gul |
Comparison of methods for the analysis of incomplete longitudinal count data: a simulation study |
4: Incomplete data |
P1 |
Lawo |
John-Philip |
Handling of values below lloq |
4: Incomplete data |
P1 |
Robaina |
Maytee |
Analysis of incomplete longitudinal psychiatric data |
4: Incomplete data |
P1 |
Yonemoto |
Naohiro |
Sensitivity analysis for missing data with due to death for developmental outcomes in very low birth weight infants followed-up cohort study |
4: Incomplete data |
P1 |
Omar |
Rumana |
Use of multivariate multilevel models to reduce bias when observations are missing not at random |
4: Incomplete data |
P1 |
Uemura |
Yukari |
Estimation of marginal survival probability for dynamic treatment regimes with two thresholds |
5: Dynamic treatment regimens |
P1 |
McNamee |
Roseanne |
Efficacy estimation from survival data with wrong carryover assumption |
7: Causal inference |
P1 |
Sauzet |
Odile |
Quality of conduct and reporting of rcts in neuropathic pain taken from a systematic review. |
7: Causal inference |
P1 |
Ohlsson |
Henrik |
Variation in prescription patterns among health care institutions |
7: Causal inference |
P1 |
Kuroki |
Manabu |
Selection of graphical identifiability criteria for causal effects |
7: Causal inference |
P1 |
Quantin |
Catherine |
Empirical comparison of alternative marginal structural models for estimating causal effects of haart therapy on time to hiv progression |
8: Model selection |
P1 |
Md. Hasinur Rahaman Khan |
Md. Hasinur |
Penalized regression approaches to variable selection for AFT models in high dimensions |
8: Model selection |
P1 |
Sanagou |
Masoumeh |
A two-level risk prediction model for 30-day mortality following cardiac surgery |
8: Model selection |
P1 |
Willemsen |
Sten |
Contrasting two approaches for fitting growth curve data |
8: Model selection |
P1 |
Hosseini |
Sayed Mohsen |
Trends of creatinine among patients with type 2 diabetes in isfahan endocrine and metabolism research center (iemrc) between 1997-2007: a longitudinal study |
8: Model selection |
P1 |
Klersy |
Catherine |
Are we clinical epidemiologists or data miners? |
8: Model selection |
P1 |
Loeys |
Tom |
Wavelet-based functional mixed models for the analysis of lateralized readiness potentials |
9: Statistical modeling approaches involving smoothing |
P1 |
Grathwohl |
Dominik |
Zero-inflated models for the analysis of bacteria counts |
9: Statistical modeling approaches involving smoothing |
P1 |
Horova |
Ivanka |
Change points detection of a smooth estimate of a hazard function |
9: Statistical modeling approaches involving smoothing |
P1 |
Bousquet |
Damien |
About inference in semiparametric Marshall Olkin distributions |
9: Statistical modeling approaches involving smoothing |
P1 |
Wilson |
Douglas |
Cusum-assessed personalized hypotensive treatment surveillance. |
Epidemiology |
P1 |
Turkiewicz |
Aleksandra |
Confidence intervals for rates based on estimated person-time at risk |
Epidemiology |
P1 |
Frøslie |
Kathrine Frey |
Is the association between bmi and birthweight mediated by interleukins? |
Epidemiology |
P1 |
Hassanzadeh |
Akbar |
Compare of lecturing and role playing on knowledge and performance of high school students in first aid at emergency scene |
Epidemiology |
P1 |
Sypsa |
Vana |
Estimation of epidemiological parameters for pandemic influenza a/h1n1 from surveillance data |
Epidemiology |
P1 |
Jung |
Sun-Young |
Estimation of excess hospitalization due to seasonal influenza using nationwide claims database |
Epidemiology |
P1 |
Kato |
Mai |
Analyzing psychiatric data adjusting confounders and practice effects |
Epidemiology |
P1 |
Ejlali |
Nasim |
A bidirectional model in linear memory for hidden Markov model |
Methodology |
P1 |
Aghdam |
Rosa |
A bidirectional Bayesian Monte Carlo and a clustering approach for estimating parameters of a profile hidden Markov models |
Methodology |
P1 |
Jackson |
Dan |
Identifying influential observations in Bayesian models using Monte Carlo Markov chain |
Methodology |
P1 |
Gajda |
Dorota |
KL divergence and L1 norm for importance sampling combined with MCMC in Bayesian simulation study. |
Methodology |
P1 |
Yadegarfar |
Ghasem |
Predictors of longitudinal change in systolic and diastolic blood pressure: an application of multilevel modeling |
Multilevel |
P1 |
Kalema |
George |
Psuedo-likelihood methodology applied to longitudinal count data |
Multilevel |
P1 |
Tamaki |
Junko |
Assessing the impact of urinary salt and potassium excretion on blood pressure levels with generalized estimating equations using the longitudinal worksite study database: the high-risk and population strategy for occupational health promotion (hipop-ohp) study |
Multilevel |
P1 |
Wednesday, 1 September and Thursday 2 September |
Janousova |
Eva |
Current leukaemia-free survival in cml patients treated with imatinib |
1: Joint modeling of longitudinal outcome and times-to event |
P2 |
Lee |
Mei-Ling Ting |
Comparison of threshold regression to accelerated failure time models |
1: Joint modeling of longitudinal outcome and times-to event |
P2 |
Kifley |
Annette |
Multilevel latent variable models for global health-related life quality |
10: Latent variable models |
P2 |
Blanchin |
Myriam |
Analysis of longitudinal patient reported outcomes with missing data |
10: Latent variable models |
P2 |
Hamel |
Jean-Francois |
Rasch models to detect a group effect for patients reported outcomes |
10: Latent variable models |
P2 |
Roberts |
Chris |
The analysis of non-pharmacological therapy trials in which patients receive treatment from more than one care-provider |
11: Design and analysis of non pharmaceutical trials/device trials |
P2 |
Carrasco |
Josep |
Measuring FMRI reliability accounting for spatial autocorrelation |
12: Spatial data analysis |
P2 |
Julious |
Steven |
Investigating homogeneity of treatment effects in clinical studies with application to meta-analysis |
13: Meta-analyses |
P2 |
Combescure |
Christophe |
Meta-analysis of binary outcomes from two-by-two tables when the length of follow-up varies |
13: Meta-analyses |
P2 |
Youdom Whegang |
Solange |
Unbalanced multiple treatment- meta-analysis of clinical trials with an ordinal primary outcome and repeated measurements |
13: Meta-analyses |
P2 |
Trajkovic |
Goran |
Detecting reporting bias by comparing the study reports with the reanalysis of published individual patient data |
13: Meta-analyses |
P2 |
Roloff |
Verena |
Assessing the potential impact of future studies on a meta-analysis, with implications for planning new research |
13: Meta-analyses |
P2 |
Chandra
Sc Awards Winner |
Bhushan-Tripathi |
Tau & amyloid in diagnosis of Alzheimer’s disease (ad): a meta-analysis |
13: Meta-analyses |
P2 |
Mehlig |
Kirsten |
Cholesteryl ester transfer protein (cetp) taq1b polymorphism, hdl-cholesterol, alcohol consumption and the risk of coronary heart disease |
14: Genetic epidemiology |
P2 |
Freitas |
Sonia |
Risk of coronary disease conferred by the association of the cc locus 9p21 variant with smoking |
14: Genetic epidemiology |
P2 |
Magdalena
Sc Awards Winner |
Wietlicka-Piszcz |
The classification of liver tissues based on microarray data |
14: Genetic epidemiology |
P2 |
Enki |
Doyo Gragn |
On the divisive hierarchical clustering of genes |
15: Bioinformatics |
P2 |
Wolinska-Welcz |
Anna |
Grade exploration of clinical data with reference to monotone dependence |
15: Bioinformatics |
P2 |
Cwiklinska-Jurkowska |
Malgorzata |
Performance of liver cancer recognition for cirrhotic patients based on micro-array experiments |
15: Bioinformatics |
P2 |
Collignon |
Olivier |
A simultaneous stepwise variable selection and clustering algorithm to predict the dose of peanut triggering reactions in allergic patients |
16: Prediction |
P2 |
Schafer |
Juliane |
Predicting short-term outcome in emergency department patients with non-specific complaints by boosting additive logistic regression |
16: Prediction |
P2 |
Ana Luisa Papoila |
Ana |
Using GAMS to find cutpoints for continuous covariates |
16: Prediction |
P2 |
Rossa |
Agnieszka |
Mortality forecasting based on the modified Lee-Carter methodology |
16: Prediction |
P2 |
Hoffmann |
Verena |
Prediction of treatment outcome in cml by use of three recursive partitioning methods: CART, bagging and random forests |
16: Prediction |
P2 |
Henriques |
Carla |
Maternal bmi, weight gain and iom weight gain recommendations in the prediction of obstetric outcomes |
16: Prediction |
P2 |
Bonnet |
Laura |
Developing a prognostic model for epilepsy data |
16: Prediction |
P2 |
Torres |
Juan |
Efficiency of stroke clinical trials with ordinal outcomes: a simulation study |
16: Prediction |
P2 |
Nataša
Sc Awards Winner |
Bogavac-Stanojevic |
The discriminative ability of novel biomarkers in risk prediction for coronary artery disease |
16: Prediction |
P2 |
Uemura |
Kohei |
A Bayesian sample size re-estimation method accounting for a prior information of treatment difference |
17: Clinical trials |
P2 |
Lingsma |
Hester |
Between-center differences in outcome after traumatic brain injury: |
17: Clinical trials |
P2 |
Gaus |
Wilhelm |
Validity of results of controlled, not-randomised studies |
17: Clinical trials |
P2 |
Karapanagiotou-Schenkel |
Irini |
Phase II, two-stage, single-arm cancer clinical trial – waiting or overrunning? |
17: Clinical trials |
P2 |
Friede |
Tim |
Blinded information-based monitoring of clinical trials |
17: Clinical trials |
P2 |
Potschgerq |
Ulrike |
Design of a randomised trial for the comparison of different treatment durations |
17: Clinical trials |
P2 |
Tiwari |
Jawahar |
Islet cell transplantation for the treatment of type 1 diabetes |
17: Clinical trials |
P2 |
Hunt |
Devin |
Statistical analysis validation techniques and the often overlooked clinical review process |
17: Clinical trials |
P2 |
Close |
Nicole |
Is it intention to treat analysis or are we just fooling everyone? |
17: Clinical trials |
P2 |
Kanik |
Emine Arzu |
Using similarity index to evaluate baseline homogeneity before and after randomization in clinical trial |
17: Clinical trials |
P2 |
Borgulya |
Gabor |
Paired samples bootstrap tests of means without normality assumption |
17: Clinical trials |
P2 |
Teerenstra |
Steven |
A simple sample size formula for analysis of covariance in cluster randomized trials |
17: Clinical trials |
P2 |
Reiczigel |
Jeno |
Estimation and testing of risk ratio adjusted for sensitivity and specificity |
17: Clinical trials |
P2 |
Chehrazi |
mohammad |
Bayesian analysis application and advantages in sperm biology researches, a practical example |
17: Clinical trials |
P2 |
Kunz |
Cornelia |
Stochastic Curtailment for Two-stage Designs with One or Two Endpoints |
17: Clinical trials |
P2 |
Zain |
Zakiyah |
Deriving an estimator for the correlation between two logrank statistics |
17: Clinical trials |
P2 |
Willis |
Brian |
Investigation of heterogeneity in meta-analyses of diagnostic tests |
2: Diagnostic testing and screening methodology |
P2 |
van Zwet |
Erik |
Specificity and sensitivity in the absence of a golden standard |
2: Diagnostic testing and screening methodology |
P2 |
Clements |
Mark |
Estimation of the prevalence of metastatic cancer using the miamod model |
2: Diagnostic testing and screening methodology |
P2 |
Szymanski |
Andrzej |
Correlation between gerontological bother and the preference system - investigated by means of fuzzy statistics |
2: Diagnostic testing and screening methodology |
P2 |
Kada |
Akiko |
Characterising diagnostic performance with combining several continuous test results |
2: Diagnostic testing and screening methodology |
P2 |
Majek |
Ondrej |
Provider profiling in a screening programme using hierarchical model |
2: Diagnostic testing and screening methodology |
P2 |
Boda |
Krisztina |
Assessing agreement between two simultaneous measurements for in vivo tonometric study with multiple observations per individual |
2: Diagnostic testing and screening methodology |
P2 |
Hosseini |
Sayed Mohsen |
Iranian risk model for diabetic retinopathy |
2: Diagnostic testing and screening methodology |
P2 |
Ahmad Zaki |
Rafdzah |
A review of statistical methods used to assess agreement in medicine |
2: Diagnostic testing and screening methodology |
P2 |
Bouliotis |
George |
Survival frailty models in public dental health: assessing visits to Scottish dental surgeries |
21: Survival analysis and Multistate models |
P2 |
Tanaka |
Sachiko |
Approximated likelihood method for analysis of interval-censored data with measurement error |
21: Survival analysis and Multistate models |
P2 |
Metcalfe |
Chris |
Estimating the temporal association between two series of events |
21: Survival analysis and Multistate models |
P2 |
Mwangi |
Ann |
Causal inference for survival times with informative censoring & missing exposure |
21: Survival analysis and Multistate models |
P2 |
Etienne |
Kaelin |
3-dimensional pictogram of risk measures in epidemiology |
3: Health economic evaluations |
P2 |
Doherty |
Dorota |
Pregnancy complications and outcomes as a Markov model |
3: Health economic evaluations |
P2 |
Dunger-Baldauf |
Cornelia |
Comparing minimum important differences to observed treatment effects |
3: Health economic evaluations |
P2 |
Siani |
Carole |
The handling of uncertainty around the incremental cost-utility ratio accounting for mapping interpolation using bootstrap metods |
3: Health economic evaluations |
P2 |
Yonemoto |
Naohiro |
Sensitivity analysis for missing data with due to death for developmental outcomes in very low birth weight infants followed-up cohort study |
4: Incomplete data |
P2 |
Vesin |
Aurelien |
The use of multiple imputation on a worldwide survey to identify risk factors of job strain in intensive care workers |
4: Incomplete data |
P2 |
Kyr |
Michal |
Constructing a long-time 15-year disease model of brain atrophy in patients with multiple sclerosis utilizing short-time data from a 4-year longitudinal study using linear mixed effects models: effect of apoe e4 genotype on brain atrophy |
4: Incomplete data |
P2 |
Sanchez-Niubo |
Albert |
Row and column effects association model for incomplete tables of drug use |
4: Incomplete data |
P2 |
Kvaloy |
Jan Terje |
Analysing clinical state transitions during cardiopulmonary resuscitation |
5: Dynamic treatment regimens |
P2 |
Pirracchio |
Romain |
Evaluation of the propensity score methods in case of small sample size or low treatment prevalence |
7: Causal inference |
P2 |
Vourli |
Georgia |
Performance of the marginal structural models under various scenarios of incomplete marker’s value: a simulation study |
7: Causal inference |
P2 |
Glass |
Tracy |
Causal models for the impact of time-updated adherence to antiretroviral therapy on clinical outcomes in hiv-infected individuals |
7: Causal inference |
P2 |
Maracy |
Mohammad |
Factors related to readmission of psychiatric inpatients in noor hospital, Isfahan, Iran 2004-2009 |
8: Model selection |
P2 |
Cvancarova Småstuen |
Milada |
Modelling time to event in the presence of competing risk – three different approaches applied to a large registry base data |
8: Model selection |
P2 |
Gatto |
Maria Gosaria Antonella |
An application of cluster analysis to the anatomical distribution of 6 periodontal pathogens. |
8: Model selection |
P2 |
Pavlik |
Tomas |
The importance of regression diagnostic tools in Cox modelling |
8: Model selection |
P2 |
Rousson |
Valentin |
A comparison of nonparametric fits applied to seasonal indicators used in case of heat wave alarm in Switzerland |
9: Statistical modeling approaches involving smoothing |
P2 |
Oliveira |
Pedro |
Individual control charts with varying limits |
9: Statistical modeling approaches involving smoothing |
P2 |
Napier |
Gary |
Modelling obesity in Scotland |
9: Statistical modeling approaches involving smoothing |
P2 |
Yuen |
Ho Ming |
Are we given a longer duration of treatment for depression? A study of changes over time using the gprd |
Epidemiology |
P2 |
Valeria |
Edefonti |
The effect of weather conditions in patients suffering from chronic masticatory muscle pain |
Epidemiology |
P2 |
Gefeller |
Olaf |
How can the responsibility for the occurrence of disease be shared between different risk factors in occupational epidemiology? |
Epidemiology |
P2 |
Pfahlberg |
Annette |
Confidence intervals for the partial attributable risk |
Epidemiology |
P2 |
Gillaizeau |
Florence |
Relationship between antibiotic consumption and resistance: comparison of three transfer function models on five-year data from a French university hospital. |
Epidemiology |
P2 |
Perera Chang |
Manuel |
Characterizing the ideal renal replacement therapy |
Epidemiology |
P2 |
Carla |
Nunes |
The characteristics of first 5 months h1n1 cases in Portugal |
Epidemiology |
P2 |
Sugar |
Elizabeth |
Accounting for non-Gaussian distributions in statistical modeling |
Methodology |
P2 |
Zhu |
Qi |
A Bayesian Markov chain based heteroscedastic regression model for the analysis of O-labelled mass spectra |
Methodology |
P2 |
Anna
Sc Awards Winner |
Welcz |
Grade exploration of clinical data with reference to monotone dependence |
Methodology |
P2 |
Diya |
Luwis |
A multivariate multilevel model for health outcomes |
Multilevel |
P2 |
Bizjajeva |
Svetlana |
Indications for hip and knee replacement in Sweden |
Multilevel |
P2 |
Mutsvari |
Timothy |
Correcting for misclassification for a binary outcome using differential sensitivity and specificity with an application In dental research. |
Multilevel |
P2 |
Draft-programme
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