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Statistics in Practice: Statistical Analysis of Cost-Effectiveness Data

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The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades. Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author’s own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics.

Zakup książki

Statistics in Practice: Statistical Analysis of Cost-Effectiveness Data, Andrew R. Willan, Andrew H. Briggs

Język
Rok wydania
2006
Oprawa
(twarda),
Stan książki
Dobry
Cena
222,68 zł

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Tytuł
Statistics in Practice: Statistical Analysis of Cost-Effectiveness Data
Język
angielski
Wydawca
WILEY
Rok wydania
2006
Oprawa
twarda
Liczba stron
212
ISBN10
0470856262
ISBN13
9780470856260
Seria
Opis
The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades. Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author’s own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics.