Bibliografía

JCF Gauss

1

Altman, DG y Andersen, PK; Calculating the number needed to treat for trilas where the outcome is time to an event; BMJ, 319, 1492-5, 1999

2

Altman, DG y Gardner, MJ; Calculating confidence intervals for regression and correlation; BMJ, 296, 1238-1242, 1988

3

Armitage, P y Berry, G; Statistical Methods in Medical Research, Blackwell Science, Pub., Oxford , London , 1987

4

Ashley, E, Myers, J y Froelicher, V; Exercise testing scores as an example of better decisions through sciences, Med & Science in Sports & exercise, 1391-7, 2002

5

Azzimonti Renzo, JC y Schvezov, C; La teoría de errores de mediciones, UNaM, 1976

6

Azzimonti Renzo, JC; Probabilidad, UNaM, 1981

7

Azzimonti Renzo, JC; Recopilación y presentación de datos, UNaM, 1981

8

Azzimonti Renzo, JC; Comparación por medio de la teoría de errores de métodos clásicos para sistemas bajo control estadístico de calidad y el método recomendado por los proveedores de sueros control.  Acta Bioq. Clín. Latin., XIV, 509, 1982

9

Azzimonti Renzo, JC; Apuntes de la Cátedra, UNaM, 1999/2000

10

Azzimonti Renzo, JC; The agreement between two diagnostic methods: a proposal, Scan J Clin Lab Invest, 2002, 62, 391-8

10-1 Azzimonti Renzo JC, Failures of Common Measures of Agreement in Medicine and the Need for a Better Tool: Feinstein's Paradoxes and the Dual Vision Method , Scand J Clin Lab Invest 2003, 63: 207-216

11

Bellack , AS y Hersen, M; Comprehensive Clinical Psychology, Eslsevier Science 3º Edition, Chapter 3-4,1998  

12

Benson, ES Connelly, DP y Burke, DM; Estrategias de selección de pruebas de laboratorio; Ed. Médica Panamericana, 1981

13

Bland, MJ y Altman DG; Statistical methods for assessing agreement between methods of clinical measurement, The Lancet, 307-310, February 8,1986

14

Braitman, LE; Confidence Intervals assess both Clinical Significance and Statistical sig-nificance, Annals of Internal Medicine, 114; 515-517, 1991

15

Brenna, P y Silman, A; Statistical Methods for assessing observer variability in clinical             measures; BMJ, 304, 1991,June-1992

16

Brenner, H y Gefeller, O; Chance corrected measures of the validity of a binary diagnostic test; J Clin Epidemiol, 47, 627-33, 1994

17

Campbell, MJ y Gardner, MJ; Calculating confidence intervals for some non-parametric análisis, BMJ, 296, 1454-1456, 1988

18

Cicchetti, DV y Feinstein, AR, High agreement but low kappa, II: resolving the paradoxes, J. Clin. Epidemiol., 43, 551-558, 1990

19

COLABIOCLI; Mejoría continua de la calidad, Panamericana, 1993

20

Conover, WJ; "Practical Nonparametric Statistics" 3rd Edition, New York : John Wiley & Sons., 1999

21

Crámer, H; Teoría de probabilidad y aplicaciones, Aguilar, 1966

22

Detsky , AS et al. ; Evaluating the accuracy of nutritional assessment techniques applied to hospitalized patients: methodology and comparisons; Journal of Parenteral and enteral nutrition, 8: 153-8, 1984

23

Feinstein , AR y Cicchetti, DV, High agreement but low kappa, I: the problems of two paradoxes, J. Clin. Epidemiol., 43, 543-549, 1990

24

Feinstein , AR ; Misguided efforts and future challenges for research on diagnostic tests, JECH, 56: 330-332, 2002

25

Feinstein , AR , Clinimetrics, Yale University Press, Chapter 10-11, 1987

26

Feinstein , AR ; Principles of Medical Statistics, Chapman & Hall/CRC, 2002

27

Fraser, C.G. et al., Proposed quality specifications for imprecision and inaccuracy of analytical systems for Clinical chemistry, Eur J Clin Clin Biochem, 1992: 30: 311-317

28

Galen, RS y Gambino, SR; Beyond Normality: The predictive value and Efficiency of medical diagnosis; J.Wiley & Sons, 1975

29

Galen, RS; Interpretation of laboratory tests; N. Engl. J. Med., 292, 1975

30

Gallagher, EJ; Clinical utility of likelihoods ratios; Annals of Emergency Medicine; 31: 3 March: 391-7 , 1998

31

Gardner , MJ y Altman, D.G.; Confidence intervals rather than P values: estimation rather than hypothesis testing; BMJ, 292, 746-750, 1986

32

Glass, RD, Diagnosis: A Brief Introduction, Melbourne , Oxford University Press, 1996

33

Guttman, L, The test-retest reliability of qualitative data, Psychometrika 1946; 11:81-95

34

Guyatt, G and Rennie, D, User’s Guides to the Medical Literature, JAMA & Archives Journals, AMA Press, 2002

35

Hollander, M y Wolfe , D; Nonparametric Statistical Methods, J.Wiley & Sons, 1973

36

Iovine, E y Selva, AA; El laboratorio en la clínica, 3ª Ed., Ed. Med Panamericana., 1991

37

Jenicek, M y Cléroux, R; Epidemiología, Ed. Científicas y técnicas SA, 1993

38

Knapp, TR The Reliability of Measuring Instruments, Vancouver , B.C., Edgeworth Lab.  For Quantitative Educational and Behavioural Science, Chapter 7, 2001 

39

Kohan, NC y Carro, JM; Estadística aplicada; 5ª Edición, EUDEBA, 1972

40

Knottnerus, JA, van Weel, C and Muris, JWM; Evaluation of diagnostic procedures, BMJ, 324: 477-480, 2002

41

Levey, S y Jennings, ER, The use of the control charts in the clinical laboratories, Am. J. Clin. Path., 20, 1059, 1950

42

Lewis, AE; Bioestadística, C:E:C:S:A:, 1969

43

Lison, L; Estadística aplicada a la biología experimental, EUDEBA, 1976

44

Manchin, D y Gardner MJ; Calculating confidence intervals for survival time analyses; British Medical Journal, 296, 1369-1371, 1988

45

Matthews, JNA et al; Analysis of serial measurement in medical research; British Medical Journal, 300, 230-235, 1990

46

McNeil, B et al; Measures of clinical efficacy: Cost-Efectiveness Calculations in the diagnosis and treatment of Hypertensive Renovascular disease, New England Journal of Medicine, 293: Nº 5, 216-21, 1975

47

McNeil, B et al; Primer of certain elements of Medical Decision Making, New England Journal of Medicine, 293: Nº 5, 211-5, 1975 

48

McNeil, B et al; Measures of clinical efficacy: cost-effectiveness in the diagnosis and treatment of hypertensive renovascular disease, New England Journal of Medicine, 293: Nº 5, 216-221, 1975 

49

McNemar, Q; Note on the sampling error of the difference between correlated proportions or percentages, Psychometrika, 12: 153-7, 1947

50

Molenaar, W; Approximations to the Poisson, Binomial and Hypergeometric Distribution Functions; Mathematical Centre, Amsterdam , 1970

51

Moons, KGM y Grobbee, D E; Diagnostic studies as multivariable, prediction research. JECH, 56:337-338, 2002.

52

Morris, JA y Gardner, MJ; Calculating confidence intervals for relative risk (odds ratios) and standardized ratios an rates; BMJ, 296, May/1988

53

Moses, LE et al; Analyzing data from ordered categories, The New England Journal of medicine, 311, 442-448, 1984

54

Papoullis, A; Probability & Statistics, Prentice Hall, 1990

55

Remington, R y Schork, M; Estadística Biométrica y Sanitaria, Prentice Hall, 1974

56

Riffemburg, RH; Statistics in Medicine, Academic Press, 1999

57

Ricós, C, Alvarez V, Cava F et al; Desiderable especifications for Total Error, Imprecision and Bias, derived from biological variation; Scand J Clin lab Invest; 59, 491-500, 1999

58

Rodríguez Alonso G. Ocañara RJ y Cuadras ACM;  Fundamentos de Probabilidad en Bioestadística, EUNIBAR, Barcelona, 1979.

59

Ross, J y Fraser, M; Clinical Laboratory Precision: The state of the art and medical Usefulness Based Internal Quality Control, 5, 578, Am. J. Clin. Path., 1982

60

Svirbely, J; The Medical Algorithm Project, version 10.1 www.medal.org, August 18, 2002

61

Simel, DL; Playing the Odds, The Lancet, Feb.9, 1985, 329-330

62

Snedecor, W; Métodos Estadísticos, C.E.C.S.A., 3ª Ed., 1970

63

Sokal, RR y Rohlf, FJ, Biometry, WH Freeman & Co, 2ª Ed., 1981

64

Sokal, RR y Rohlf, FJ, Statsitical Tables, WH Freeman & Co, 2ª Ed., 1981

65

Sonnenwirth, AC y Jarret, L; Métodos y diagnósticos del laboratorio clínico, Cap.4 por Galen, S; Ed. Médica Panamericana 8ª Edición, 1983

66

Spiegel, M; Estadística, Mc Graw Hill, 1970

67

Steel, RGD y Torrie, JH; Bioestadística:Principios y Procedimientos, McGraw-Hill,1985

68

Steurer, J et al.; Communicating accuracy of tests to general practitioner: a controlled study, BMJ, 324: 824-6, 2002

69

Student ; On the error of counting with a haemocytometer, Biometrika, V, 351, 1907

70

Todd, Sandford y Davidsohn; Diagnósticos y tratamientos clínicos por el laboratorio, 7ª Edición, Edit. Salvat, 1984

71

Trotter, CL y Edmunds, WJ; Modelling cost-effectiveness of meningococcal serogroup C conjugate vaccination campaing in England and Wales; BMJ, 324: 809-12, 2002

72

Wald, NJ et al.; When can a risk factor be used as a worthwhile screening test? BMJ, 319: 1562-5, 1999

73

Wasmuth, JC et al.; Phospholipid Autoantibodies and the Antiphospholipid Antibody syndrome: Diagnostic accuracy of 23 methods studied by variation in ROC curves with a number of clinical manifestations, Clin Chem, 48:7 1004-10, 2002

74

Weintraub, WS et al.; Critical-analysis of the application of Bayes’s Theorem to sequential testing in the non-invasive diagnosis of coronary artery disease. Am J Cardiol, 54, 43-49, 1984

75

Westgard, JO et al; A Multi-Rule Shewhart Chart for Quality Control in Clinical Chemistry; Clin. Chem., 27, 493, 1981

76

Westgard, JO et al; Quality control in clinical measurements, www.westgard.com  2002

77

Yerushalmy J et al., Statistical problems in assessing methods of medical diagnosis, with special reference to X-ray techniques; Public Health Rep, 62:1432–49, 1947