TITEL              : small_cell_lung_cancer 
KEYWORDS (statist) : ordinal regression
ANWENDUNGSGEBIET   : Datasets for exercises
VERW.(VORL./J.-S.) : Angewandte Statistische Regression WS 10

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KURZE BESCHREIBUNG : Small cell carcinoma of the lung has the most aggressive
                     clinical course of any type of pulmonary tumour, and 
                     without treatment, the median survival time from
		     diagnosis is less than 6 months. This type of cancer
		     has a greater tendency to be disseminated than other
		     forms but is much more responsive to chemotherapy. In
		     a clinical trial on the treatment of small cell lung
		     cancer two treatment strategies were compared. One
		     group of patients received an alternating therapy, in
		     which the same combination of chemotherapeutic agents
		     were administered in each treatment cycle. The second
		     group received an alternatig therapy, in which three
		     different combinations were given, alternating between
		     cycles (Therapy = 1) . One response variable of
		     interest was the tumour response at the end of the
		     treatment period, categorised as progressive disease,
		     no change, partial remission, and complete
		     remission. Data were obtained from 299 patients, and
		     the sex of the patient was regarded as a prognostic
		     factor (0 male, 1 female).  


SPEZ. EIG.         : 

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DIM.(VAR./FAELLE)  : 4 / 17 

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vA / LITERATUR      :  / Collet, D. 2003. Modelling binary data (2nd Edition);
	              Holtbrügge, W. and Schumacher M. (1991( A comparison
		      of regression models for the analysis of ordered
		      categorical data. Applied Statistics, 40, 249-259.

                   * D=Daten, vA=volle Analyse, tA=teilweise Analyse,
                     K=Kommentar

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BEMERKUNGEN        :


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USERS              :
DATUM/UNTERSCHRIFT : 01.Dec 09 / M. Koller