Suchergebnisse - (Subject:"Models, Statistical")

PubPharm (420)

61

Combination of multi-model statistical analysis and quantitative fingerprinting in quality evaluation of Shuang-huang-lian oral liquid

enthalten in: Analytical and bioanalytical chemistry | 2020

von Si, W. | Qiao, Y. | Liu, Z. | +7

62

Application of Joinpoint regression model in cancer epidemiological time trend analysis

enthalten in: Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine | 2020

von Li, H. | Du, L.

63

Identification of Peripheral Blood and Menstrual Blood Based on the Expression Level of MicroRNAs and Discriminant Analysis

enthalten in: Fa yi xue za zhi | 2020

von He, H. | Ji, A. | Han, N. | +5

64

Statistical methods for repeated measurement data in scientific research

enthalten in: Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine | 2020

von Feng, G.

65

Mapping clinical outcomes to generic preference-based outcome measures : development and comparison of methods

enthalten in: Health technology assessment (Winchester, England) | 2020

von Hernández Alava, M. | Wailoo, A. | Pudney, S. | +2

66

Modelling the impact of COVID-19 on intensive care services in New South Wales

enthalten in: The Medical journal of Australia | 2020

von Fox, G. | Trauer, J. | McBryde, E.

67

Multiple linear regression models with natural logarithmic transformations of variables

enthalten in: Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine | 2020

von Yu, S. | Wang, Q. | Long, X. | +4

68

Statistical significance : p value, 0.05 threshold, and applications to radiomics-reasons for a conservative approach

enthalten in: European radiology experimental | 2020

von Di Leo, G. | Sardanelli, F.

69

Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach

enthalten in: European radiology experimental | 2020

von Di Leo, G. | Sardanelli, F.

70

Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach

enthalten in: European radiology experimental | 2020

von Di Leo, G. | Sardanelli, F.