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Applied longitudinal data analysis for epidemiology / Jos W. R. Twisk / Cambridge [U.K.] : Cambridge University Press (2003)
Applied longitudinal data analysis for epidemiology : a practical guide [printed text] / Jos W. R. Twisk, Author . - Cambridge [U.K.] : Cambridge University Press, 2003 . - XVI, 301 p. : ill. ; 25cm.
ISBN : 978-0-521-81976-3 : 54,45
Languages : English (eng)
WA 105 Epidemiology
Data Interpretation, Statistical ; Epidemiologic Studies ; Epidemiology ; Longitudinal Studies ; Models, Statistical ; Statistical methods
Abstract: In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.
Clearly understandable by non-statisticians
Compares and contrasts different techniques and methods of analysis
Illustrated with examples of real-life research questions
Contents note: 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. Other possibilities to model longitudinal data; 6. Dichotomous outcome variables; 7. Categorical and 'count' outcome variables; 8. Longitudinal studies with two measurements: the definition and analysis of change; 9. Analysis of experimental studies; 10. Missing data in longitudinal studies; 11. Tracking; 12. Software for longitudinal data-analysis; 13. Sample size calculations; Index. Record link:
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Barcode Call number Media type Location Section Status 10273-00413 WA105/TWI Book KCE Library (10.124) AvailableCalculating an intervention's (cost-)effectiveness for the real-world target population / Mattias Neyt in Health Policy, 106(2012)02 ([07/01/2012])
[article] Calculating an intervention's (cost-)effectiveness for the real-world target population : the potential of combining strengths of both RCTs and observational data [printed text] / Mattias Neyt , Author ; Irina Cleemput , Author ; Nancy Thiry, Author ; Chris De Laet , Author . - 2012 . - p. 207-210.
Languages : English (eng)
in Health Policy > 106(2012)02 [07/01/2012] . - p. 207-210
W 1 Serials. Periodicals
Cost-Benefit Analysis ; Epidemiologic Studies ; Health Care Costs ; Journal Article ; Peer Review ; Randomized Controlled Trials ; statistics and numerical data [Subheading] ; Treatment outcome
Abstract: Economic evaluations most often use results from randomised controlled trials (RCTs) to model effectiveness. Inconsiderate application of the absolute treatment effect from RCTs may result in unrealistic estimates of an intervention's benefit for the real-world target population. The baseline risk of events in this target population may differ significantly from the baseline risk in the RCT population. An approach to handle this problem is to combine observational data with evidence from RCTs. Reliable administrative or register data can provide an estimate of the real-world baseline risks. In combination with the relative treatment effect from well-performed RCTs this results in an estimate of the absolute benefit for the relevant target population. Applying this approach, one must remain cautious about the validity of the assumption of a constant relative treatment effect. Link for e-copy: https://doi.org/10.1016/j.healthpol.2012.04.014 Format of e-copy: PDF [Requires Subscription] Record link: [article]