Genentech
Data Sciences in Pharma - Patient Centered Outcomes Research
Genentech

Data Sciences in Pharma - Patient Centered Outcomes Research

Susanne Clinch

ä½ę•™åøˆļ¼šSusanne Clinch

2,794 äŗŗå·²ę³Øå†Œ

åŒ…å«åœØ Coursera Plus äø­

ę·±å…„äŗ†č§£äø€äøŖäø»é¢˜å¹¶å­¦ä¹ åŸŗē”€ēŸ„čÆ†ć€‚
4.5

(22 ę”čÆ„č®ŗļ¼‰

äø­ēŗ§ 等级

ęŽØčä½“éŖŒ

8 å°ę—¶ 完成
ēµę“»ēš„č®”åˆ’
č‡Ŗč”Œå®‰ęŽ’å­¦ä¹ čæ›åŗ¦
ę·±å…„äŗ†č§£äø€äøŖäø»é¢˜å¹¶å­¦ä¹ åŸŗē”€ēŸ„čÆ†ć€‚
4.5

(22 ę”čÆ„č®ŗļ¼‰

äø­ēŗ§ 等级

ęŽØčä½“éŖŒ

8 å°ę—¶ 完成
ēµę“»ēš„č®”åˆ’
č‡Ŗč”Œå®‰ęŽ’å­¦ä¹ čæ›åŗ¦

ę‚Øå°†å­¦åˆ°ä»€ä¹ˆ

  • How patient experience data is used in the drug lifecycle

  • Developing a patient-centric measurement strategy and using qualitative and quantitative patient experience data as evidence in drug development

  • Common clinical outcome assessment outputs and considerations when interpreting clinical outcome assessment data

č¦äŗ†č§£ēš„čÆ¦ē»†äæ”ęÆ

åÆåˆ†äŗ«ēš„čÆä¹¦

ę·»åŠ åˆ°ę‚Øēš„é¢†č‹±ę”£ę”ˆ

作业

12 锹作业

ęŽˆčÆ¾čÆ­čØ€ļ¼šč‹±čÆ­ļ¼ˆEnglish)

äŗ†č§£é”¶ēŗ§å…¬åøēš„å‘˜å·„å¦‚ä½•ęŽŒę”ēƒ­é—ØęŠ€čƒ½

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal ēš„å¾½ę ‡

čÆ„čÆ¾ēØ‹å…±ęœ‰4äøŖęØ”å—

This module will cover a background of clinical outcome assessments (COAs) and patient experience data, what they are and what they consist of, how this data fits into drug development and the importance of this data as evidence to the external environement (such as health authorities) across the drug lifecycle

ę¶µē›–ēš„å†…å®¹

6个视频3个作业1äøŖę’ä»¶

This Module will discuss ways in which qualitative research is used to select, develop, modify or validate a COA. The amount of qualitative research study teams need to conduct can depend on how much qualitative research for the concept of interest in the context of use is already publically available. Qualitative research is often an initial step health authorities such as FDA mandate when they evaluate the suitability of existing and newly developed COAs selected for a clinical trial

ę¶µē›–ēš„å†…å®¹

5个视频2ēÆ‡é˜…čÆ»ęę–™3个作业

This Module will discuss some of the common quantitative methods used when selecting, developing, modifying and validating a COA. This will include a background to psychometrics and the different properties that are considered for classical test therory and item response theory. It will also touch on the important topic of evaluating change in a COA, what that change means and methods to establish what threshold in the COA of interest would be described as meaningful from the patient's point of view

ę¶µē›–ēš„å†…å®¹

11个视频1ēÆ‡é˜…čÆ»ęę–™3个作业

This module will provide an understanding of a how patient reported outcomes (PROs) are used to measure treatment related tolerability, with a focus on a commonly used measure called the PRO-CTCAE as well as common COA outputs and considerations when interpreting COA data

ę¶µē›–ēš„å†…å®¹

7个视频2ēÆ‡é˜…čÆ»ęę–™3个作业

ä½ę•™åøˆ

ęŽˆčÆ¾ę•™åøˆčÆ„åˆ†
3.8 (6个评价)
Susanne Clinch
Genentech
1 门课程2,794 åå­¦ē”Ÿ

ęä¾›ę–¹

Genentech

从 Data Analysis ęµč§ˆę›“å¤šå†…å®¹

äŗŗä»¬äøŗä»€ä¹ˆé€‰ę‹© Coursera ę„åø®åŠ©č‡Ŗå·±å®žēŽ°čŒäøšå‘å±•

Felipe M.
自 2018å¼€å§‹å­¦ä¹ ēš„å­¦ē”Ÿ
''čƒ½å¤ŸęŒ‰ē…§č‡Ŗå·±ēš„é€Ÿåŗ¦å’ŒčŠ‚å„å­¦ä¹ čÆ¾ēØ‹ę˜Æäø€ę¬”å¾ˆę£’ēš„ē»åŽ†ć€‚åŖč¦ē¬¦åˆč‡Ŗå·±ēš„ę—¶é—“č”Øå’Œåæƒęƒ…ļ¼Œęˆ‘å°±åÆä»„å­¦ä¹ ć€‚'
Jennifer J.
自 2020å¼€å§‹å­¦ä¹ ēš„å­¦ē”Ÿ
''ęˆ‘ē›“ęŽ„å°†ä»ŽčÆ¾ēØ‹äø­å­¦åˆ°ēš„ę¦‚åæµå’ŒęŠ€čƒ½åŗ”ē”Øåˆ°äø€äøŖä»¤äŗŗå…“å„‹ēš„ę–°å·„ä½œé”¹ē›®äø­ć€‚'
Larry W.
自 2021å¼€å§‹å­¦ä¹ ēš„å­¦ē”Ÿ
''å¦‚ęžœęˆ‘ēš„å¤§å­¦äøęä¾›ęˆ‘éœ€č¦ēš„äø»é¢˜čÆ¾ēØ‹ļ¼ŒCoursera ä¾æę˜Æęœ€å„½ēš„åŽ»å¤„ä¹‹äø€ć€‚'
Chaitanya A.
''å­¦ä¹ äøä»…ä»…ę˜ÆåœØå·„ä½œäø­åšēš„ę›“å„½ļ¼šå®ƒčæœäøę­¢äŗŽę­¤ć€‚Coursera č®©ęˆ‘ę— é™åˆ¶åœ°å­¦ä¹ ć€‚'
Coursera Plus

é€ščæ‡ Coursera Plus å¼€åÆę–°ē”Ÿę¶Æ

ę— é™åˆ¶č®æé—® 10,000+ äø–ē•Œäø€ęµēš„čÆ¾ēØ‹ć€å®žč·µé”¹ē›®å’Œå°±äøšå°±ē»ŖčÆä¹¦čÆ¾ēØ‹ - ę‰€ęœ‰čæ™äŗ›éƒ½åŒ…å«åœØę‚Øēš„č®¢é˜…äø­

é€ščæ‡åœØēŗæå­¦ä½ęŽØåŠØę‚Øēš„čŒäøšē”Ÿę¶Æ

čŽ·å–äø–ē•Œäø€ęµå¤§å­¦ēš„å­¦ä½ - 100% 在线

åŠ å…„č¶…čæ‡ 3400 家选择 Coursera for Business ēš„å…Øēƒå…¬åø

ęå‡å‘˜å·„ēš„ęŠ€čƒ½ļ¼Œä½æå…¶åœØę•°å­—ē»ęµŽäø­č„±é¢–č€Œå‡ŗ

åøøč§é—®é¢˜