Zamanian, A.* ; Ahmidi, N. ; Drton, M.*
Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms.
Stat. Med. 42, 5419-5450 (2023)
Mishra, A.K.* ; Müller, C.L.
Negative binomial factor regression with application to microbiome data analysis.
Stat. Med. 41, 2786-2803 (2022)
Simonetto, C. ; Rospleszcz, S. ; Heier, M. ; Meisinger, C. ; Peters, A. ; Kaiser, J.C.
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population.
Stat. Med. 40, 3299-3312 (2021)
Sommer, A. ; Leray, E.* ; Lee, Y.* ; Bind, M.A.C.*
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution-multiple sclerosis relapses relationship.
Stat. Med. 40, 1321-1335 (2021)
Kurz, C.F. ; Hatfield, L.A.*
Identifying and interpreting subgroups in health care utilization data with count mixture regression models.
Stat. Med. 38, 4423-4435 (2019)
Köhler, M. ; Umlauf, N.* ; Greven, S.*
Nonlinear association structures in flexible Bayesian additive joint models.
Stat. Med. 37, 4771-4788 (2018)
Gong, G.* ; Quante, A.S. ; Terry, M.B.* ; Whittemore, A.S.*
Assessing the goodness of fit of personal risk models.
Stat. Med. 33, 3179-3190 (2014)
Hess, W.* ; Schwarzkopf, L. ; Hunger, M. ; Holle, R.
Competing-risks duration models with correlated random effects: An application to dementia patients' transition histories.
Stat. Med. 33, 3919-3931 (2014)
Rapsomaniki, E.* ; White, I.R.* ; Wood, A.M.* ; Thompson, S.G.* ; Emerging Risk Factors Collaboration (Döring, A. ; Meisinger, C.)
A framework for quantifying net benefits of alternative prognostic models.
Stat. Med. 31, 114-130 (2012)
Finner, H.* ; Strassburger, K.* ; Heid, I.M. ; Herder, C.* ; Rathmann, W.* ; Giani, G.* ; Dickhaus, T.* ; Lichtner, P. ; Meitinger, T. ; Wichmann, H.-E. ; Illig, T. ; Gieger, C.
How to link call rate and p-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality.
Stat. Med. 29, 2347-2358 (2010)
Barnett, A.G.* ; Dobson, A.J.* ; WHO MONICA Project (Löwel, H. ; Hörmann, A. ; Gostomzyk, J.G. ; Bolte, H.-D.)
Estimating trends and seasonality in coronary heart disease.
Stat. Med. 23, 3505-3523 (2004)
Kaiser, J.C. ; Heidenreich, W.F.
Comparing regression methods for the two-stage clonal expansion model of carcinogenesis.
Stat. Med. 23, 3333-3350 (2004)
Heid, I.M. ; Küchenhoff, H.* ; Wellmann, J. ; Gerken, M. ; Kreienbrock, L.* ; Wichmann, H.-E.
On the potential of measurement error to induce differential bias on odds ratio estimates : An example from radon epidemiology.
Stat. Med. 21, 3261-3278 (2002)
Heidenreich, W.F. ; Wellmann, J. ; Jacob, P. ; Wichmann, H.-E.
Mechanistic modelling in large case-control studies of lung cancer risk from smoking.
Stat. Med. 21, 3055-3070 (2002)
Hauptmann, M. ; Lubin, J.H.* ; Rosenberg, P.* ; Wellmann, J.* ; Kreienbrock, L.*
The use sliding time windows for the exploratory analysis of temporal effects of smoking histories on lung cancer risk.
Stat. Med. 19, 2185-2194 (2000)
Reitmeir, P. ; Wassmer, G.*
Resampling-based methods for the analysis of multiple endpoints in clinical trials.
Stat. Med. 18, 3453-3462 (1999)
Lehmacher, W.
Analysis of the Crossover Design in the Presence of Residual Effects.
Stat. Med. 10:891-899 (1991)
Lehmacher, W.
Analysis of the crossover design in the presence of residual effects.
Stat. Med. 10, 891-899 (1991)