Patient profiling: an application of random coefficient regression models to depicting the response of a patient to outpatient psychotherapy.
Patient profiling: an application of random coefficient regression models to depicting the response of a patient to outpatient psychotherapy.
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患者分析：应用随机系数回归模型来描述患者对门诊心理治疗的反应。
DOI：
10.1037//0022-006x.67.4.571
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发表时间：
1999
影响因子：
5.9
通讯作者：
Howard,KI
中科院分区：
文献类型：
--
作者：
Lutz,W;Martinovich,Z;Howard,KI
适应性治疗计划是一个动态过程，依赖于有效的系统评估。剂量和相位模型为这种“以患者为中心”的信息的发展提供了理论基础。考虑到恢复过程的潜在数学规律，可以使用生长建模技术来确定每个患者的预期治疗反应。通过将患者的实际状态映射到这种预期的变化轨迹，可以解决临床上最相关的问题，”这种治疗有效吗？“（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Adaptive treatment planning is a dynamic process that is dependent on valid, systematic assessments. The dosage and phase models provide theoretical bases for the development of such" patient-focused" information. Given an underlying mathematical regularity to the recovery process, growth modeling techniques can be used to determine an expected treatment response for every patient. By mapping the patient's actual status against such an expected change trajectory, it is possible to address the most clinically relevant question," Is this treatment working?"(PsycINFO Database Record (c) 2016 APA, all rights reserved)