標(biāo)題: Titlebook: Biostatistical Applications in Cancer Research; Craig Beam Book 2002 Springer Science+Business Media New York 2002 Survival analysis.cell. [打印本頁] 作者: VIRAL 時間: 2025-3-21 17:30
書目名稱Biostatistical Applications in Cancer Research影響因子(影響力)
書目名稱Biostatistical Applications in Cancer Research影響因子(影響力)學(xué)科排名
書目名稱Biostatistical Applications in Cancer Research網(wǎng)絡(luò)公開度
書目名稱Biostatistical Applications in Cancer Research網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Biostatistical Applications in Cancer Research被引頻次
書目名稱Biostatistical Applications in Cancer Research被引頻次學(xué)科排名
書目名稱Biostatistical Applications in Cancer Research年度引用
書目名稱Biostatistical Applications in Cancer Research年度引用學(xué)科排名
書目名稱Biostatistical Applications in Cancer Research讀者反饋
書目名稱Biostatistical Applications in Cancer Research讀者反饋學(xué)科排名
作者: 充滿裝飾 時間: 2025-3-21 22:22
Placement Services for Learning Networkst. We are interested in estimation of the distribution of these times, in comparing these outcomes between two or more treatments, or in finding models for these outcomes that allow us to predict outcome based on a particular patient profile.作者: bibliophile 時間: 2025-3-22 03:09 作者: Blood-Vessels 時間: 2025-3-22 05:44
Survival Analysis Methods in Cancer Studies,t. We are interested in estimation of the distribution of these times, in comparing these outcomes between two or more treatments, or in finding models for these outcomes that allow us to predict outcome based on a particular patient profile.作者: 我要沮喪 時間: 2025-3-22 10:59 作者: 使成核 時間: 2025-3-22 16:36 作者: aerobic 時間: 2025-3-22 17:10 作者: 元音 時間: 2025-3-22 23:21
Some Aspects of Analysis of Gene Array Data,f genes between two or more systems. The emergence of this technology, along with attempts to integrate data output with underlying biology, has created one of most lively areas of applied multivariate statistics to recently emerge.作者: famine 時間: 2025-3-23 03:58 作者: Prosaic 時間: 2025-3-23 09:26
Book 2002the analysis of microarray data..Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.作者: 臆斷 時間: 2025-3-23 10:01 作者: TOM 時間: 2025-3-23 13:56
Case Study: Evaluating Accuracy of Cancer Diagnostic Tests,otion Picture and Television Engineers (SMPTE) tone curve. Mammograms were selected such that 18 contained a single subtle mass, 18 contained a single subtle micro-calcification, and 14 contained no lesion.作者: 托人看管 時間: 2025-3-23 20:02
Book 2002ncer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and 作者: 不公開 時間: 2025-3-24 01:45 作者: Overthrow 時間: 2025-3-24 02:43 作者: monogamy 時間: 2025-3-24 10:15 作者: 閑聊 時間: 2025-3-24 12:27
978-1-4419-5310-0Springer Science+Business Media New York 2002作者: Affection 時間: 2025-3-24 17:42 作者: 左右連貫 時間: 2025-3-24 22:18
Cancer Diagnostics: Statistical Methods,This chapter presents methods for analyzing studies evaluating the accuracy of tests used to screen for and/or answer diagnostic questions about cancer. Examples include screening mammography, diagnostic mammography, colonoscopy, Papanicolaou cervical smear, and chest X-ray to diagnose possible lung cancer.作者: 淺灘 時間: 2025-3-25 01:00
José Janssen,Adriana Berlanga,Rob Kopersymptoms. The motivation behind such efforts is that earlier detection, when combined with an effective therapy, will lead to enhanced benefit. The benefit is usually reflected in a higher cure rate or longer survival. In ordinary circumstances most cancers—especially solid tumors, are usually diagn作者: Reverie 時間: 2025-3-25 03:53
Towards Contextualized Learning Servicese of models in considering the quantitative aspects of the early detection of disease. In this chapter, it will be assumed that clinical trials have established the benefit of early detection of disease and we will discuss the issues in bringing these benefits to widespread public health use.作者: Vulnerable 時間: 2025-3-25 09:25 作者: 愛國者 時間: 2025-3-25 15:06 作者: 懸崖 時間: 2025-3-25 18:30 作者: Gerontology 時間: 2025-3-25 22:26
Victor J. Friedman,Israel J. Sykesachment of prostate cells to their neighboring environment. The process of cell attachment is a very important process in cancer in general, and in prostate cancer in particular. Changes in cell attachment allow cells to move around the body, or metastasize, thereby causing the spread of cancer thro作者: 燒烤 時間: 2025-3-26 04:11
Learning Path Construction in e-Learningthods. The goal of this chapter is to briefly review the progression of the spatial analysis of disease from simple dot maps and crude rate comparisons to the complex hierarchical spatial models used today. After providing a historical background and necessary epidemiologic fundamentals, we summariz作者: FACET 時間: 2025-3-26 04:59
Technical Definition and Concepts,ing chapter reviewed the history and theory of spatial statistics as applied to health data. This chapter provides examples of how this theory can be used in practice. Emphasis is placed on the tools and resources available to enable a statistical analyst to perform a spatial statistical analysis. B作者: hermetic 時間: 2025-3-26 10:05 作者: 豎琴 時間: 2025-3-26 14:50
Cancer Treatment and Researchhttp://image.papertrans.cn/b/image/188583.jpg作者: HERE 時間: 2025-3-26 19:25
Biostatistical Applications in Cancer Research978-1-4757-3571-0Series ISSN 0927-3042 Series E-ISSN 2509-8497 作者: 不來 時間: 2025-3-26 22:52 作者: Indelible 時間: 2025-3-27 03:43
Models and the Early Detection of Disease: Methodological Considerations,symptoms. The motivation behind such efforts is that earlier detection, when combined with an effective therapy, will lead to enhanced benefit. The benefit is usually reflected in a higher cure rate or longer survival. In ordinary circumstances most cancers—especially solid tumors, are usually diagn作者: ORE 時間: 2025-3-27 08:54
Statistical Models for Screening: Planning Public Health Programs,e of models in considering the quantitative aspects of the early detection of disease. In this chapter, it will be assumed that clinical trials have established the benefit of early detection of disease and we will discuss the issues in bringing these benefits to widespread public health use.作者: CHOIR 時間: 2025-3-27 09:57 作者: Limpid 時間: 2025-3-27 15:36 作者: evince 時間: 2025-3-27 18:56 作者: SUGAR 時間: 2025-3-28 01:57
An Analysis of Gene Array Data Related to Cell Adhesion and Prostate Cancer,achment of prostate cells to their neighboring environment. The process of cell attachment is a very important process in cancer in general, and in prostate cancer in particular. Changes in cell attachment allow cells to move around the body, or metastasize, thereby causing the spread of cancer thro作者: 背叛者 時間: 2025-3-28 03:31
Spatial Analysis of Disease,thods. The goal of this chapter is to briefly review the progression of the spatial analysis of disease from simple dot maps and crude rate comparisons to the complex hierarchical spatial models used today. After providing a historical background and necessary epidemiologic fundamentals, we summariz作者: 亞麻制品 時間: 2025-3-28 06:50
,Spatial Analysis of Disease — Applications,ing chapter reviewed the history and theory of spatial statistics as applied to health data. This chapter provides examples of how this theory can be used in practice. Emphasis is placed on the tools and resources available to enable a statistical analyst to perform a spatial statistical analysis. B作者: curriculum 時間: 2025-3-28 12:47 作者: 真實的你 時間: 2025-3-28 17:24 作者: Affable 時間: 2025-3-28 19:19
Cox Proportional Hazards Regression Models for Survival Data in Cancer Research,d for prognostic factors?”. We can use regression analysis to answer these questions. Cox (1972) proposed a proportional hazards regression model in analyzing the survival data. It has gained enormous popularity. We will discuss the techniques used in fitting a Cox regression model. Most of these te作者: indenture 時間: 2025-3-29 02:26
An Analysis of Gene Array Data Related to Cell Adhesion and Prostate Cancer,ct gene activity at some future time. We were especially interested in whether and how standardization of numerical values (e.g. division by a specific measure of abundance) obtained from microarrays may affect statistical parameters such as coefficient of correlation or coefficient of variation in 作者: FILTH 時間: 2025-3-29 03:57
José Janssen,Adriana Berlanga,Rob Koperrgeted at localized disease. If the cancer site has metastasized, then resecting or radiating the primary tumor will not result in cures. Effective chemotherapy can be significantly enhanced if the metastatic disease consists of microscopic cells which have not seriously interfered with a vital orga作者: AVERT 時間: 2025-3-29 11:01
Ear, Nasal, and Paranasal Sinuses,d for prognostic factors?”. We can use regression analysis to answer these questions. Cox (1972) proposed a proportional hazards regression model in analyzing the survival data. It has gained enormous popularity. We will discuss the techniques used in fitting a Cox regression model. Most of these te作者: Admire 時間: 2025-3-29 13:06 作者: 愛了嗎 時間: 2025-3-29 16:56
10樓作者: Gorilla 時間: 2025-3-29 20:53
10樓
