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WA 950 Theory or methods of medical statistics |
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Analysing survival data from clinical trials and observational studies / Ettore Marubini / New York ; Hoboken : J. Wiley (1995)
Analysing survival data from clinical trials and observational studies [printed text] / Ettore Marubini ; Maria Grazia Valsecchi, . - New York ; Hoboken : J. Wiley, 1995 . - XVI, 414 p. : ill. ; 24 cm. - (Statistics in Practice) .
ISBN : 978-0-471-93987-0 : 61,16
Languages : English (eng)
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WA 950 Theory or methods of medical statistics
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Clinical Trials ; Statistical methods ; Survival analysis (Biometry)Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=275 Hold
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Barcode Call number Media type Location Section Status 10273-00231 WA950/MAR Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
A good life in old age? Organisation for Economic Co-operation and Development, European Commission Methods for the Economic Evaluation of Health Care Programmes Drummond, Michael F. The relationship between hospital volume and quality of health outcomes Sowden, Amanda J. Cochrane Handbook for Systematic Reviews of Interventions Higgins, Julian PT Survival Analysis Using SAS Allison, Paul David Introduction to meta-analysis Borenstein, Michael Meta-analysis of controlled clinical trials Whitehead, Anne Models for discrete data Zelterman, Daniel A visual guide to stata graphics Mitchel, Michael N. How to design, analyse and report cluster randomised trials in medicine and health related research Campbell, Michael J. Améliorer la performance des soins de santé Organisation for Economic Co-operation and Development (OECD) = Organisation de Coopération et de Développement Economiques (OCDE) Applied spatial statistics for public health data / Lance A. Waller / New York ; Hoboken : J. Wiley (2004)
Applied spatial statistics for public health data [printed text] / Lance A. Waller, Author ; Carol A. Gotway, Author . - New York ; Hoboken : J. Wiley, 2004 . - xviii, 494 p. : ill. ; 24 cm.. - (Wiley series in probability and statistics) .
ISBN : 0-471-38771-1 : 105,00
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
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Data Interpretation, Statistical ; Public HealthAbstract: While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks")
Exercises based on data analyses reinforce conceptsRecord link: https://kce.docressources.info/index.php?lvl=notice_display&id=479 Hold
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Barcode Call number Media type Location Section Status 10273-00620 WA 950/ WAL Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Survival Analysis Using SAS Allison, Paul David Eléments d'épidémiologie Beaglehole, R. Multilevel modelling of health statistics Goldstein, Harvey, Leyland, A. H. Organisatie van de gezondheidszorg Callens, Stefaan Spatial epidemiology Elliott, Paul Categorical data analysis Agresti, Alan A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics O'Rourke, Norm PROC TABULATE by example Haworth, Lauren E. An Introduction to Infectious Disease Modelling Vynnycky, Emilia Survival analysis using the SAS system Allison, Paul David Decision Modelling for Health Economic Evaluation Briggs, Andrew H.
Biostatistique : une approche intuitive [printed text] / Harvey J. Motulsky, Author . - Paris : De Boeck université, 2002 . - 484 p. ; 24 cm. - (Sciences & méthodes; 1376-2281) .
ISBN : 2-7445-0092-5 : 41,50
Languages : English (eng)
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WA 950 Theory or methods of medical statisticsAbstract: Cet ouvrage présente les principales méthodes de statistique médicale utilisées dans la pratique quotidienne et dans la littérature théorique. Par une approche claire et synthétique, il aborde de manière détaillée les concepts et les techniques de base tels qu'intervalle de confiance, test d'hypothèse, p-valeur, test t, test x2, corrélation et régression. Il introduit également les tests non paramétriques, la survie, l'analyse de variance à un facteur et des techniques plus poussées telles que la régression linéaire multiple, logistique et non linéaire.L'auteur insiste tout particulièrement sur l'interprétation des résultats, les conditions et situations d'application des méthodes et il met l'accent sur les aspects pratiques. Les sections plus techniques ou avancées sont signalées et peuvent être sautées sans conséquence pour la compréhension de l'ensemble. Des exemples médicaux illustrent la théorie et des exercices résolus en détails figurent en fin de chaque chapitre. Contents note: Titre originalIntuitive BiostatisticsLangue originaleanglaisEditeur originalOxford University PressTraduction : Michèle Dramaix-Wilmet, Fabienne Nackers Révision scientifique : Annie RobertTableaux, graphiques noir et blancSommairePartie I Les intervalles de confiancePartie II La comparaison de groupes au moyen d'intervalles de confiancePartie II Introduction aux p-valeursPartie IV La logique bayésiennePartie V La corrélation et la régressionPartie VI Le design des essais cliniquesPartie VII Les tests statistiques usuelsPartie VIII Introduction aux tests statistiques avancésPartie IX Vue d'ensemblePartie X Annexes Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=145 Hold
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Barcode Call number Media type Location Section Status 10273-00026 WA950/MOT Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Répertoire Commenté des Médicaments Pharmaceutical pricing policies in a global market Docteur, Elizabeth, Paris, Valérie, Moise, Pierre, Organisation for Economic Co-operation and Development (OECD) = Organisation de Coopération et de Développement Economiques (OCDE) The evidence base of clinical diagnosis Knottnerus, J. André Pharmacoepidemiology Waning, Brenda Analyzing complex survey data Lee, Eun Sul Nonfusion technologies in spine surgery Szpalski, Marek Step-by-Step Programming with Base SAS Software SAS Institute Contributions personnelles en matière de soins de santé en Belgique De Graeve, Diane Dynamic reconstruction of the spine Kim, Daniel H., Cammisa, Frank P., Fessler, Richard G. PROC TABULATE by example Haworth, Lauren E. Applied health economics Jones, Andrew Catalogue of Bias / Catalogue of Bias Collaboration / Oxford [United Kingdom] : Centre for Evidence-Based Medicine (CEBM) (2023)
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Catalogue of Bias : A collaborative project mapping all the biases that affect health evidence [electronic document] / Catalogue of Bias Collaboration, Author ; Douglas Badenoch, Editor ; Carl Heneghan, Editor ; David Nunan, Editor . - Oxford [United Kingdom] : Centre for Evidence-Based Medicine (CEBM), 2023.
Continuous update
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
Indexation
Bias (Epidemiology) ; Database ; Information ScienceAbstract: Bias enters health studies at all stages and often influences the magnitude and direction of results. To obtain the least biased information, researchers must acknowledge the potential presence of biases and take steps to avoid and minimise their effects. Equally, in assessing the results of studies, we must be aware of the different types of biases, their potential impact and how this affects interpretation and use of evidence in healthcare decision making.
To better understand the persistent presence, diversity, and impact of biases, we are compiling a Catalogue of Bias, stemming from original work by David Sackett. The entries are a work in progress and describe a wide range of biases outlining their potential impact in research studies.
The Catalogue of Bias Collaboration started in June 2017 with a meeting at the Harbour Hotel, Bristol. The first pages were posted in December 2017, and a launch event was held in Oxford at the Practice of Evidence-Based Healthcare module on the 17th January 2018. In 2019 we moved our away day meetings to Ettington Park, in Stratford. We continually refine and update this resource.Contents note: Admission rate bias, All's well literature bias, Allocation bias, Apprehension bias, Ascertainment bias, Attrition bias, Availability bias, Biases of rhetoric, Centripetal bias, Chronological bias, Collider bias, Compliance bias, Confirmation bias, Confounding, Confounding by indication, Data-dredging bias, Detection bias, Diagnostic access bias, Diagnostic suspicion bias, Differential Reference bias, Hawthorne effect, Hot stuff bias, Hypothetical bias, Immortal time bias, Incorporation bias, Industry Sponsorship bias, Information bias, Informed presence bias, Insensitive measure bias, Lack of blinding, Language bias, Lead time bias, Mimicry bias, Misclassification bias, Non-contemporaneous control bias, Non-response bias, Novelty bias, Observer bias, One-sided reference bias, Outcome reporting bias, Partial reference bias, Perception bias, Performance bias, Popularity bias, Positive results bias, Prevalence-incidence (Neyman) bias, Previous opinion bias, Publication bias, Recall bias, Referral filter bias, Reporting biases, Selection bias, Spectrum bias, Spin bias, Starting time bias, Substitution game bias, Unacceptability bias, Unacceptable disease bias, Unmasking (detection signal) bias, Verification bias, Volunteer bias, Wrong sample size bias, Link for e-copy: https://catalogofbias.org/biases/ Format of e-copy: Website Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=4900 Common Statistical Methods for Clinical Research / Glenn A. Walker / Cary, NC [United States] : SAS Institute (2002)
Common Statistical Methods for Clinical Research [printed text] / Glenn A. Walker, Author . - Cary, NC [United States] : SAS Institute, 2002 . - 488 p.
ISBN : 978-1-59047-040-4 : 62,95 $
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
Indexation
SAS ; StatisticsAbstract: This newly updated second edition provides clinical researchers with an invaluable aid for understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. The text is written in a way that takes the non-statistician through each test using examples, yet substantive details are presented that benefit even the most experienced data analysts. Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions about power, calculating sample size, p-values, and the logic behind hypothesis testing. The statistical methods discussed here represent a composite of methods most commonly used in the analysis of clinical research data. Numerous examples taken from clinical research show how to calculate statistical data both manually and using SAS. This edition includes new sections about crossover designs and multiple comparison methods, a discussion of interim analyses, 50% more examples, and reader exercises. Extensions of methods previously presented only in their most elementary form are shown in new examples. This title is also available in digital format. Contents note: Chapter 1-Introduction & Basics 1.1 Statistics - the Field 1.2 Probability Distributions 1.3 Study Design Features 1.4 Descriptive Statistics 1.5 Inferential Statistics 1.6 Summary
Chapter 2-Topics in Hypothesis Testing / Significance Levels
Power / One-Tailed and Two-Tailed Tests / p-Values / Sample Size Determination / Multiple Testing / Summary Chapter 3-The Data Set TRIAL Introduction / Data Collection / Creating the Data Set TRIAL / Statistical Summarization / Summary Chapter 4-The One-Sample t-Test Introduction / Synopsis / Examples / Details & Notes Chapter 5-The Two-Sample t-Test / Chapter 6-One-Way ANOVA / Chapter 7-Two-Way ANOVA / 8-Repeated Measures Analysis / Chapter 9-The Crossover Design / Chapter 10-Linear Regression /
Chapter 11-Analysis of Covariance / Chapter 12-The Wilcoxon Signed-Rank Test / Chapter 13-The Wilcoxon Rank-Sum Test / Chapter 14-The Kruskal-Wallis Test / Chapter 15-The Binomial Test / Chapter 16-The Chi-Square Test / Chapter 17-Fisher's Exact Test / Chapter 18-McNemar's Test / Chapter 19-The Cochran-Mantel-Haenszel Test / Chapter 20-Logistic Regression /
Chapter 21-The Log-Rank Test / Chapter 22-The Cox Proportional / Chapter 23-Exercises / Appendix A - Probability Tables
Probabilities of the Standard Normal Distribution / Critical Values of the Student / Critical Values of the Chi-Square Distribution / Appendix B - Common Distributions Used in Statistical Inference / Notation / Properties / Results
Distributional Shapes / Appendix C - Basic ANOVA Concepts
Within- vs. Between-Group Variation / Noise Reduction by Blocking / Least Squares Mean (LS-mean) /Appendix D - SS Types I, II, III, and IV Methods for an Unbalanced Two-Way Layout
SS Types Computed by SAS / How to Determine the Hypothesis Tested / Empty Cells / More Than Two Treatment Groups
Summary / Appendix E - Multiple Comparison Methods
Multiple Comparisons of Means / Multiple Comparisons of Binomial Proportions / Summary / Appendix F - Data Transformations / Introduction / The Log Transformation
Appendix G - SAS Code for Exercises in Chapter 23 / References
IndexRecord link: https://kce.docressources.info/index.php?lvl=notice_display&id=137 Hold
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Barcode Call number Media type Location Section Status 10273-00210 WA950/WAL Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Applied survey data analysis Heeringa, Steven A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics O'Rourke, Norm Répertoire Commenté des Médicaments Survival analysis using the SAS system Allison, Paul David Step-by-Step Programming with Base SAS Software SAS Institute Eléments d'épidémiologie Beaglehole, R. SAS survival analysis techniques for medical research Cantor, Alan Survival Analysis Using SAS Allison, Paul David Essential medical statistics Kirkwood, Betty R. Spatial epidemiology Elliott, Paul Categorical data analysis Agresti, Alan PermalinkPermalinkFinding and Using Health Statistics / Rockville Pike [USA] : National Information Center on Health Services Research and Health Care Technology (NICHSR) (2008)
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PermalinkGuide d'évaluation des études non interventionnelles / Federaal Agentschap voor Geneesmiddelen en Gezondheidsproducten / Brussels [Belgium] : Federaal Agentschap voor Geneesmiddelen en Gezondheidsproducten (FAGG) = Agence Fédérale des Médicaments et des Produits de Santé (AFMPS) (2008)
PermalinkHealth statistics / Daniel J. Friedman / Oxford ; Melbourne ; New York : Oxford University Press - OUP (2005)
PermalinkHiaten inzake kennis kinesitherapie / Jozef Pacolet / Bruxelles : FOD Volksgezondheid, Veiligheid van de voedselketen en Leefmilieu = SPF Santé publique, Sécurité de la Chaîne alimentaire et Environnement (2007)
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PermalinkInleiding tot de medische statistiek / J.C. van Houwelingen / Wetenschappelijke Uitgeverij Bunge (1995)
PermalinkPermalinkLeidraad over niet-interventionele studies / Federaal Agentschap voor Geneesmiddelen en Gezondheidsproducten / Brussels [Belgium] : Federaal Agentschap voor Geneesmiddelen en Gezondheidsproducten (FAGG) = Agence Fédérale des Médicaments et des Produits de Santé (AFMPS) (2008)
PermalinkMeta-analysis, decision analysis, and cost-effectiveness analysis / Diana B. Petitti / Oxford ; Melbourne ; New York : Oxford University Press - OUP (2000)
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