The International Journal of Biostatistics CAUSAL INFERENCE An Introduction to Causal Inference Judea Pearl, University of California, Los Angeles Recommended Citation: Pearl, Judea (2010) "An Introduction to Causal Inference," The International Journal of Biostatistics: Vol. The International Journal of Biostatistics A Stochastic EM Type Algorithm for Parameter Estimation in Models with Continuous Outcomes, under Complex Ascertainment Maria Grünewald, Stockholm University Keith Humphreys, Karolinska Institutet Ola Hössjer, … The International Journal of Biostatistics (IJB) seeks to publish new biostatistical models and methods, new statistical theory, as well as original applications of statistical methods, for important practical problems arising from the biological, medical, public health, and agricultural sciences with an emphasis on semiparametric methods. International Journal of Biostatistics & Computational Biology (IJBCB) is an international peer reviewed journal devoted towards biostatistics & computational biology. Biostatistics in Africa 2019: A Special Issue of The International Journal of Biostatistics International Journal of Biostatistics: Vol. The International Journal of Biostatistics Ordinal Regression Models for Continuous Scales Maurizio Manuguerra, Macquarie University Gillian Z. Heller, Macquarie University Recommended Citation: Manuguerra, Maurizio and Heller, Gillian Z. Unauthenticated Download Date | 4/13/17 12:12 AM Volume 6, Issue 1 2010 Article 15 The International Journal of Biostatistics Evaluation of Incidence Rates in Pre-Clinical Studies Using a Williams-Type Procedure Ludwig A. Hothorn, Leibniz University Hannover Martin Sill, German Cancer Research Center Frank Schaarschmidt, Leibniz University Hannover Recommended Citation: The International Journal of Biostatistics Volume 6, Issue 1 2010 Article 9 A Corrected Likelihood Approach for the Nonlinear Transformation Model with Application to Fluorescence Lifetime Measurements Using Exponential Mixtures Tabea Rebafka Franc¸ois Roueffy Antoine Souloumiacz The International Journal of Biostatistics: Vol. The International Journal of Biostatistics Manuscript 1391 “Imagine a Can Opener”—The Magic of Principal Stratum Analysis Philip Dawid, University of Cambridge Vanessa Didelez, University of Bristol ©2012 De Gruyter. DOI: 10.2202/1557-4679.1205 Brought to you by | London School of Hygiene & Tropical Medicine Authenticated Download Date | 1/21/17 6:50 PM DOI: 10.2202/1557-4679.1203 6: Iss. Journal Name: The International Journal of Biostatistics Issue: Ahead of print (Source: The International Journal of Biostatistics) Source: The International Journal of Biostatistics - February 25, 2020 Category: Statistics Source Type: research. IJBCB keeps updating day-to-day research & development to the scientific niche around the world. 7: Iss. The International Journal of Biostatistics A Comparative Study of Parametric and Nonparametric Estimates of the Attributable Fraction for a Semi-continuous Exposure Wei Wang, Center for Outcomes Research, Children's Hospital of Philadelphia Dylan Small, Department of Statistics, the Wharton School, University of Pennsylvania Recommended Citation: Biometrics & Biostatistics International Journal (BBIJ) is an internationally peer-reviewed open access journal with a strong motto to promote information regarding the development of mathematical and statistical methods including their applications in various fields like biological sciences, clinical and public health research. 1, Art. DOI: 10.2202/1557-4679.1329 Aims and Scope : The JP Journal of Biostatistics is a peer-reviewed international journal. The International Journal of Biostatistics Volume 4, Issue 1 2008 Article 13 Missing Confounding Data in Marginal Structural Models: A Comparison of Inverse Probability Weighting and Multiple Imputation Erica E. M. Moodie∗ Joseph A.C. Delaney† Genevi`eve Lefebvre ‡ Robert W. Platt∗∗ ∗McGill University, erica.moodie@mcgill.ca The International Journal of Biostatistics | Read 26 articles with impact on ResearchGate, the professional network for scientists. 1, Article 9. The International Journal of Biostatistics Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-up Vittorio Addona, Macalester College Juli Atherton, Université du Québec à Montréal David B. Wolfson, McGill University Recommended Citation: The Standard Abbreviation (ISO4) of International Journal of Biostatistics is “Int J Biostat”.ISO 4 (Information and documentation – Rules for the abbreviation of title words and titles of publications) is an international standard, defining a uniform system for the abbreviation of serial publication titles. The International Journal of Biostatistics Estimation and Asymptotic Theory for Transition Probabilities in Markov Renewal Multi–State Models Cristian Spitoni, Leiden University Medical Centre Marion Verduijn, Leiden University Medical Centre Hein Putter, Leiden University Medical Centre The citation was corrected on May 24th 2007 as follows: Michael Hermanussen, Christof Meigen (2007) "Phase Variation in Child and Adolescent Growth," The International Journal of Biostatistics: Vol. 1, Article 9. (2011) "Principal Stratification — Uses and Limitations," The International Journal of Biostatistics: Vol. Explore a selection of the most recent highly cited articles contributing to the success of the journal, freely available to read online. One major use of ISO 4 is to abbreviate the names of scientific journals. 3 : Iss. The International Journal of Biostatistics Modeling Cumulative Incidences of Dementia and Dementia-Free Death Using a Novel Three-Parameter Logistic Function Yu Cheng, University of Pittsburgh Recommended Citation: Cheng, Yu (2009) "Modeling Cumulative Incidences of … The International Journal of Biostatistics is a biannual peer-reviewed scientific journal covering biostatistics.It was established in 2005 and is published by Walter de Gruyter.Its editors-in-chief are Antoine Chambaz (Université Paris Descartes), Alan Hubbard (University of California, Berkeley), and Mark van der Laan (University of California, Berkeley). Volume 7, Issue 1 2011 Article 28 The International Journal of Biostatistics Principal Stratification — Uses and Limitations Tyler J. VanderWeele, Harvard University Recommended Citation: VanderWeele, Tyler J. 2, Article 16. Biostatistics now has an Impact Factor of 3.098, ranking 9/124 in the Statistics & Probability category. The International Journal of Biostatistics Evaluating a New Marker for Risk Prediction Using the Test Tradeoff: An Update Stuart G. Baker, National Cancer Institute Ben Van Calster, Katholieke Universiteit Leuven and Erasmus MC Ewout W. Steyerberg, Erasmus MC Recommended Citation: The journal publishes papers which employ statistical theory and methods in resolving problems arising from biological, biomedical and agricultural sciences. International Journal of Biostatistics IF is increased by a factor of 0.51 and approximate percentage change is 60.71% when compared to preceding year 2017, which shows a rising trend. The International Journal of Biostatistics, Vol. The International Journal of Biostatistics Manuscript 1349 Double-Robust Estimators: Slightly More Bayesian than Meets the Eye? Paul Gustafson, University of … With ever expansion of clinical applications in various directions, experimental papers evolving relevant algorithms are encouraged. The International Journal of Biostatistics Volume 5, Issue 1 2009 Article 22 Semiparametrically Efficient Estimation of Conditional Instrumental Variables Parameters 7 [2011], Iss. 3 : Iss. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. The Journal of Biometrics & Biostatistics is an academic journal – hosted by OMICS International – a pioneer in open access publishing–and is listed among the top 10 journals in bioremediation. 1, Article 28. The International Journal of Biostatistics Volume 4, Issue 1 2008 Article 16 Statistical Models for Assessing Agreement in Method Comparison Studies with Replicate Measurements Bendix Carstensen∗ Julie Simpson† Lyle C. Gurrin‡ ∗Steno Diabetes Center, bxc@steno.dk †University of Melbourne, julieas@unimelb.edu.au Volume 7, Issue 1 2011 Article 12 The International Journal of Biostatistics Consonance and the Closure Method in Multiple Testing Joseph P. Romano, Stanford University Azeem Shaikh, University of Chicago Michael Wolf, University of Zurich Recommended Citation: The International Journal of Biostatistics Volume 5, Issue 1 2009 Article 3 Fitting Smooth-in-Time Prognostic Risk Functions via Logistic Regression All the articles published under IJBCB, include high quality papers, which cover all the major field biostatistics. 36 DOI: 10.2202/1557-4679.1341 Brought to you by | Fred Hutchinson Cancer Research Center (Fred Hutchinson Cancer Research Center) Authenticated | 172.16.1.226 Download Date | 3/1/12 10:44 PM (2010) "Ordinal Regression Models for Continuous Each year research scientists have noticed a rise in the number of congresses being held in this field. The International Journal of Biostatistics Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach Rosalba Radice, CLondon School of Hygiene & Tropical Medicine Roland Ramsahai, Centre for Statistical Methodology, Read "A Comparative Study of Parametric and Nonparametric Estimates of the Attributable Fraction for a Semi-continuous Exposure, The International Journal of Biostatistics" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. 2, Article 7. 6: Iss. Resolving problems arising from biological, biomedical and agricultural sciences recent highly cited articles contributing to the scientific niche the... 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